Providing predictive alerts for workplace safety

ABSTRACT

A device may receive one or more environmental measurements associated with a workplace. The device may receive one or more physiological measurements associated with a worker. The one or more physiological measurements may be different from the one or more environmental measurements. The device may generate a safety score for the worker based on the one or more environmental measurements and the one or more physiological measurements. The device may provide information regarding the worker based on the safety score.

RELATED APPLICATION

This application is a continuation of U.S. patent application Ser. No.15/220,942, filed Jul. 27, 2016 (now U.S. Pat. No. 9,881,476), which isincorporated herein by reference.

BACKGROUND

Workplace accidents have been responsible for numerous injuries andfatalities. Additionally, workplace accidents have resulted insignificant property damage. Substantial losses in productivity havealso occurred as a result of worker and equipment downtime due toworkplace accidents.

SUMMARY

In some implementations, a method may include receiving, by a system,one or more environmental measurements associated with a workplace. Themethod may include receiving, by the system, one or more physiologicalmeasurements associated with a worker. The one or more physiologicalmeasurements may be different from the one or more environmentalmeasurements. The method may include generating, by the system, a safetyscore for the worker based on the one or more environmental measurementsand the one or more physiological measurements. The method may includeproviding, by the system, an alert, regarding the worker, based on thesafety score.

In some implementations, a device may include one or more environmentalsensors to obtain one or more environmental measurements associated witha workplace. The device may include one or more physiological sensors toobtain one or more physiological measurements associated with a workerlocated in the workplace. The one or more physiological measurements maybe different from the one or more environmental measurements. The devicemay include at least one of: a communication interface to provide theone or more environmental measurements and the one or more physiologicalmeasurements and to receive an alert based on a safety score generatedusing the one or more environmental measurement and the one or morephysiological measurements, or one or more processors to generate thesafety score based on the one or more environmental measurements and theone or more physiological measurements. The device may include an outputcomponent to output a signal based on receiving the alert or generatingthe safety score.

In some implementations, a non-transitory computer-readable medium maystore one or more instructions that, when executed by one or moreprocessors, cause the one or more processors to receive one or moreenvironmental measurements associated with a workplace. The one or moreinstructions may cause the one or more processors to receive one or morephysiological measurements associated with a worker. The one or morephysiological measurements may be different from the one or moreenvironmental measurements. The one or more instructions may cause theone or more processors to generate a safety score for the worker basedon the one or more environmental measurements and the one or morephysiological measurements. The one or more instructions may cause theone or more processors to provide information regarding the worker basedon the safety score.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a diagram of an overview of an example implementationdescribed herein;

FIG. 2 is a diagram of an example environment in which systems and/ormethods, described herein, may be implemented;

FIG. 3 is a diagram of example components of one or more devices of FIG.2;

FIG. 4 is a diagram of example components of one or more devices of FIG.2;

FIG. 5 is a flow chart of an example process for providing predictivealerts for workplace safety; and

FIGS. 6-20 are diagrams of example implementations relating to theexample process shown in FIG. 5.

DETAILED DESCRIPTION

The following detailed description of example implementations refers tothe accompanying drawings. The same reference numbers in differentdrawings may identify the same or similar elements.

A workplace accident may result from a confluence of factors that may bedifficult to detect before the accident occurs, such as work factorsassociated with a workplace, environmental factors associated with awork environment, and/or physiological factors associated with a worker.Implementations described herein provide a way to analyze a variety offactors to predict a likelihood of a workplace accident. For example,information may be obtained and utilized to determine a safety scoreindicating a level of safety with respect to a worker, a group ofworkers, a workplace location, or the like. Such information may includeenvironmental measurements associated with environmental factors,physiological measurements associated with physiological factors, and/orwork information associated with work factors. In some implementations,some or all of the information may be obtained in real time from awearable device worn by the worker. In some implementations, alikelihood of an accident may be predicted based on the safety score. Insome implementations, alerts may be provided to help prevent workplaceaccidents based on the safety score and/or the predicted likelihood ofan accident.

In this way, worker safety may be increased and workplace accidents maybe reduced by using environmental measurements, physiologicalmeasurements, and/or work information to predict when workplaceaccidents are likely to occur and to send alerts to prevent suchaccidents from occurring. As a result, worker injuries and/or fatalitiesmay be prevented, property damage may be avoided, and downtime ofworkers and/or equipment may be reduced.

FIG. 1 is a diagram of an overview of an example implementation 100described herein. As shown in FIG. 1, example implementation 100 mayinclude a safety analysis platform (e.g., in a cloud computingenvironment) that receives safety-related information, generates asafety score, and provides alerts based on the safety score. As shown byreference number 110, the safety analysis platform may receiveenvironmental measurements and/or physiological measurements from aworkplace safety device (e.g., a wearable device or another type ofdevice) that may include environmental sensors and/or physiologicalsensors. The environmental measurements may be associated with anenvironmental condition in the work environment (e.g., carbon monoxide,smoke, or weather conditions). The physiological measurements may beassociated with a physiological indicator for a worker (e.g., heartrate, glucose level, blood pressure, or skin temperature). As shown byreference number 120, the safety analysis platform may receive workinformation from a source device (e.g., a computer that stores workhistory information). As shown by reference number 130, the safetyanalysis platform may generate a safety score, which may be based on theenvironmental measurements, the physiological measurements, and/or thework information.

The safety analysis platform may generate safety-related alerts based onthe safety score. For example, as shown by reference number 140, thesafety analysis platform may provide an alert to the workplace safetydevice, which may cause the workplace safety device to output a visualor auditory signal, such as a light or alarm. As another example, asshown by reference number 150, the safety analysis platform may providean alert to a worker device (e.g., a smart phone, a smart watch, a smartband, or a pair of smart eyeglasses of a worker), which may cause theworker device to display a warning message to the user, such as a promptto take a break or an instruction to leave an area. As still anotherexample, as shown by reference number 160, the safety analysis platformmay provide an alert to a workplace device (e.g., a computer used by asupervisor), which may cause the workplace device to display safetyrelated information for multiple workers, such as via a user interface,as shown.

By generating the safety score based on environmental, physiological,and work factors, and by providing one or more alerts based on thesafety score to one or more workplace safety devices, worker devices,and/or workplace devices, the potential for workplace accidents may bepredicted and recognized before they occur, and workplace accidents maybe prevented. Further, computing resources may be conserved by using thesafety score as a reliable indicator of worker or workplace safety andby selectively taking action based on the safety score.

As indicated above, FIG. 1 is provided merely as an example. Otherexamples are possible and may differ from what was described with regardto FIG. 1.

FIG. 2 is a diagram of an example environment 200 in which systemsand/or methods, described herein, may be implemented. As shown in FIG.2, environment 200 may include source device(s) 210, environmentalsensor(s) 220, physiological sensor(s) 230, a safety analysis platform240, a workplace safety device 250, a worker device 260, a workplacedevice 270, and a network 280. Devices of environment 200 mayinterconnect via wired connections, wireless connections, or acombination of wired and wireless connections.

Source device 210 includes one or more devices capable of obtainingand/or providing work information and/or external information, such asinformation associated with a weather forecast. For example, sourcedevice 210 may include a device that permits a worker or supervisor toinput work information, such as a laptop computer, a desktop computer, amobile device, or the like. Additionally, or alternatively, sourcedevice 210 may include a server (e.g., a web server) that storesinformation, such as weather information, or the like.

Environmental sensor 220 includes one or more devices capable ofmeasuring an environmental condition associated with a workplace. Forexample, environmental sensor 220 may include a sensor that measures alevel of a chemical substance in the surrounding environment, such as acarbon monoxide level, an oxygen level, or the like. As another example,environmental sensor 220 may include a sensor that measures atemperature level, a humidity level, a moisture level, a wind level, asmoke level, a radiation level, or the like. As yet another example,environmental sensor 220 may include a sensor that measures a speed, avelocity, an acceleration (e.g., a positive acceleration or a negativeacceleration, or deceleration), an angular acceleration, a geographiclocation, a change in geographic location, an altitude, a force exertedon environmental sensor 220, an orientation of environmental sensor 220,a change in orientation of environmental sensor 220, or the like. Asstill another example, environmental sensor 220 may include a sensorthat measures a time of day, an amount of light, a location of a workerin the workplace, or the like.

Physiological sensor 230 includes one or more devices capable ofmeasuring a physiological indicator associated with a user. For example,physiological sensor 230 may include a heart rate monitor, a bloodpressure sensor, a glucose monitor, a pulse monitor, or the like. Asanother example, physiological sensor 230 may include a microphone(e.g., to detect noises made by the worker), an accelerometer, apedometer, a gyroscope, a heat flux sensor, a skin conductivity sensor,a temperature sensor (e.g., a skin temperature sensor, or an airtemperature sensor), a calorie monitor, a sleep monitor, a motionsensor, a moisture sensor (e.g., a perspiration sensor), or the like. Asyet another example, physiological sensor 230 may include a chemicalsensor or chemical compound sensor to measure oxygen, carbon dioxide,lactate, testosterone, cortisol, glucose, glucagon, glycogen, insulin,starch, free fatty acid, triglycerides, monoglycerides, glycerol,pyruvate, lipids, other carbohydrates, ketone bodies, choline, or thelike.

Safety analysis platform 240 includes one or more devices or systemscapable of receiving information and analyzing the information togenerate a safety score. For example, safety analysis platform 240 mayinclude a server that receives data from source device 210,environmental sensor 220, and/or physiological sensor 230, and analyzesthe data to generate a safety score. Safety analysis platform 240 mayprovide an alert, based on the safety score, to other devices. In someimplementations, safety analysis platform 240 may be remote fromworkplace safety device 250.

Safety analysis platform 240 may be hosted by a cloud computingenvironment. The cloud computing environment may provide computation,software, data access, storage, etc. services that do not requireend-user knowledge of a physical location and configuration of system(s)and/or device(s) that host safety analysis platform 240. As shown, thecloud computing environment may include a group of computing resources245 (referred to collectively as “computing resources 245” andindividually as “computing resource 245”).

Computing resource 245 includes one or more personal computers,workstation computers, server devices, or another type of computationand/or communication device. In some implementations, computing resource245 may host safety analysis platform 240. The cloud resources mayinclude compute instances executing in computing resource 245, storagedevices provided in computing resource 245, data transfer devicesprovided by computing resource 245, etc. In some implementations,computing resource 245 may communicate with other computing resources245 via wired connections, wireless connections, or a combination ofwired and wireless connections.

As further shown in FIG. 2, computing resource 245 includes a group ofcloud resources, such as one or more applications (“APPs”) 245-1, one ormore virtual machines (“VMs”) 245-2, one or more virtualized storages(“VSs”) 245-3, or one or more hypervisors (“HYPs”) 245-4.

Application 245-1 includes one or more software applications that may beprovided to or accessed by one or more devices of environment 200.Application 245-1 may eliminate a need to install and execute thesoftware applications on devices of environment 200. For example,application 245-1 may include software associated with safety analysisplatform 240 and/or any other software capable of being provided via acloud computing environment. In some implementations, one application245-1 may send/receive information to/from one or more otherapplications 245-1, via virtual machine 245-2.

Virtual machine 245-2 includes a software implementation of a machine(e.g., a computer) that executes programs like a physical machine.Virtual machine 245-2 may be either a system virtual machine or aprocess virtual machine, depending upon use and degree of correspondenceto any real machine by virtual machine 245-2. A system virtual machinemay provide a complete system platform that supports execution of acomplete operating system (“OS”). A process virtual machine may executea single program, and may support a single process. In someimplementations, virtual machine 245-2 may execute on behalf of a user(e.g., associated with one or more devices of environment 200), and maymanage infrastructure of a cloud computing environment, such as datamanagement, synchronization, or long-duration data transfers.

Virtualized storage 245-3 includes one or more storage systems and/orone or more devices that use virtualization techniques within thestorage systems or devices of computing resource 245. In someimplementations, within the context of a storage system, types ofvirtualizations may include block virtualization and filevirtualization. Block virtualization may refer to abstraction (orseparation) of logical storage from physical storage so that the storagesystem may be accessed without regard to physical storage orheterogeneous structure. The separation may permit administrators of thestorage system flexibility in how the administrators manage storage forend users. File virtualization may eliminate dependencies between dataaccessed at a file level and a location where files are physicallystored. This may enable optimization of storage use, serverconsolidation, and/or performance of non-disruptive file migrations.

Hypervisor 245-4 may provide hardware virtualization techniques thatallow multiple operating systems (e.g., “guest operating systems”) toexecute concurrently on a host computer, such as computing resource 245.Hypervisor 245-4 may present a virtual operating platform to the guestoperating systems, and may manage the execution of the guest operatingsystems. Multiple instances of a variety of operating systems may sharevirtualized hardware resources.

Workplace safety device 250 includes one or more devices capable ofbeing worn or carried by a worker. For example, workplace safety device250 may include a wearable device, such as a smart vest, smarteyeglasses, a smart wristwatch, a smart band, or the like. As anotherexample, workplace safety device 250 may include a mobile device oranother type of device. In some implementations, workplace safety device250 may include one or more environmental sensors 220 and/or one or morephysiological sensors 230.

Worker device 260 includes one or more devices associated with a worker.For example, worker device 260 may include a mobile device, such as asmart phone, a walkie-talkie, a tablet computer, a mobile personalcomputer, a digital assistant, a pager, a camera, a device associatedwith the work being performed (e.g., a device incorporated intoworkplace equipment), or the like.

Workplace device 270 includes one or more devices capable of receivingalerts associated with one or more workers and providing a userinterface for communicating the alerts (e.g., by displaying informationbased on the alerts on a display screen). For example, workplace device270 may include a laptop computer, a desktop computer, a mobile device,a computer terminal, an interactive display, a server device, or thelike.

Network 280 includes one or more wired and/or wireless networks. Forexample, network 280 may include a cellular network (e.g., a long-termevolution (LTE) network, a 3G network, a code division multiple access(CDMA) network, etc.), a public land mobile network (PLMN), a local areanetwork (LAN), a wide area network (WAN), a metropolitan area network(MAN), a personal area network (PAN), a telephone network (e.g., thePublic Switched Telephone Network (PSTN)), a private network, an ad hocnetwork, an intranet, the Internet, a fiber optic-based network, a cloudcomputing network, a peer-to-peer network, or the like, and/or acombination of these or other types of networks.

The number and arrangement of devices and networks shown in FIG. 2 areprovided as an example. In practice, there may be additional devicesand/or networks, fewer devices and/or networks, different devices and/ornetworks, or differently arranged devices and/or networks than thoseshown in FIG. 2. Furthermore, two or more devices shown in FIG. 2 may beimplemented within a single device, or a single device shown in FIG. 2may be implemented as multiple, distributed devices. Additionally, oralternatively, a set of devices (e.g., one or more devices) ofenvironment 200 may perform one or more functions described as beingperformed by another set of devices of environment 200.

FIG. 3 is a diagram of example components of a device 300. Device 300may correspond to source device 210, environmental sensor 220,physiological sensor 230, safety analysis platform 240, workplace safetydevice 250, worker device 260, and/or workplace device 270. In someimplementations, source device 210, environmental sensor 220,physiological sensor 230, safety analysis platform 240, workplace safetydevice 250, worker device 260, and/or workplace device 270 may includeone or more devices 300 and/or one or more components of device 300. Asshown in FIG. 3, device 300 may include a bus 310, a processor 320, amemory 330, a storage component 340, an input component 350, an outputcomponent 360, and a communication interface 370.

Bus 310 includes a component that permits communication among thecomponents of device 300. Processor 320 is implemented in hardware,firmware, or a combination of hardware and software. Processor 320includes a processor (e.g., a central processing unit (CPU), a graphicsprocessing unit (GPU), and/or an accelerated processing unit (APU)), amicroprocessor, a microcontroller, and/or any processing component(e.g., a field-programmable gate array (FPGA) and/or anapplication-specific integrated circuit (ASIC)) that interprets and/orexecutes instructions. In some implementations, processor 320 includesone or more processors capable of being programmed to perform afunction. Memory 330 includes a random access memory (RAM), a read onlymemory (ROM), and/or another type of dynamic or static storage device(e.g., a flash memory, a magnetic memory, and/or an optical memory) thatstores information and/or instructions for use by processor 320.

Storage component 340 stores information and/or software related to theoperation and use of device 300. For example, storage component 340 mayinclude a hard disk (e.g., a magnetic disk, an optical disk, amagneto-optic disk, and/or a solid state disk), a compact disc (CD), adigital versatile disc (DVD), a floppy disk, a cartridge, a magnetictape, and/or another type of non-transitory computer-readable medium,along with a corresponding drive.

Input component 350 includes a component that permits device 300 toreceive information, such as via user input (e.g., a touch screendisplay, a keyboard, a keypad, a mouse, a button, a switch, and/or amicrophone). Additionally, or alternatively, input component 350 mayinclude a sensor for sensing information (e.g., a global positioningsystem (GPS) component, an accelerometer, a gyroscope, and/or anactuator). Output component 360 includes a component that providesoutput information from device 300 (e.g., a display, a speaker, and/orone or more light-emitting diodes (LEDs)).

Communication interface 370 includes a transceiver-like component (e.g.,a transceiver and/or a separate receiver and transmitter) that enablesdevice 300 to communicate with other devices, such as via a wiredconnection, a wireless connection, or a combination of wired andwireless connections. Communication interface 370 may permit device 300to receive information from another device and/or provide information toanother device. For example, communication interface 370 may include anEthernet interface, an optical interface, a coaxial interface, aninfrared interface, a radio frequency (RF) interface, a universal serialbus (USB) interface, a Wi-Fi interface, a cellular network interface, orthe like.

Device 300 may perform one or more processes described herein. Device300 may perform these processes in response to processor 320 executingsoftware instructions stored by a non-transitory computer-readablemedium, such as memory 330 and/or storage component 340. Acomputer-readable medium is defined herein as a non-transitory memorydevice. A memory device includes memory space within a single physicalstorage device or memory space spread across multiple physical storagedevices.

Software instructions may be read into memory 330 and/or storagecomponent 340 from another computer-readable medium or from anotherdevice via communication interface 370. When executed, softwareinstructions stored in memory 330 and/or storage component 340 may causeprocessor 320 to perform one or more processes described herein.Additionally, or alternatively, hardwired circuitry may be used in placeof or in combination with software instructions to perform one or moreprocesses described herein. Thus, implementations described herein arenot limited to any specific combination of hardware circuitry andsoftware.

The number and arrangement of components shown in FIG. 3 are provided asan example. In practice, device 300 may include additional components,fewer components, different components, or differently arrangedcomponents than those shown in FIG. 3. Additionally, or alternatively, aset of components (e.g., one or more components) of device 300 mayperform one or more functions described as being performed by anotherset of components of device 300.

FIG. 4 is a diagram of example components of a device 400. In someimplementations, device 400 may correspond to workplace safety device250. In some implementations, device 400 may include a wearable device,such as a wearable smart vest, wearable smart eyeglasses, a wearablesmart wristwatch, or the like. Additionally, or alternatively, workplacesafety device 250 may include a mobile device, such as a smart phone. Insome implementations, workplace safety device 250 may include one ormore devices 400 and/or one or more components of device 400.

As shown in FIG. 4, device 400 may include one or more components shownin FIG. 3 (e.g., components 310-370). Additionally, or alternatively,device 400 may include a power source 405, such as a battery.Additionally, or alternatively, device 400 may include one or moreenvironmental sensors 220, such as a light sensor 410, a temperaturesensor 415, a relative humidity sensor 420, or the like. Additionally,or alternatively, device 400 may include one or more physiologicalsensors 230, such as a heart rate sensor 425, a body temperature sensor430, a movement sensor 435, or the like.

In some implementations, device 400 may communicate with another device,such as a computing device (e.g., a laptop computer or a desktopcomputer, such as worker device 260 or workplace device 270), viacommunication interface 370, to program one or more components of device400. In some implementations, power source 405 may be connected to anexternal power source for charging. In some implementations, device 400may be capable of communicating with one or more other devices, such asone or more devices shown in environment 200 and/or one or more otherdevices 400. In some implementations, device 400 may communicate withother devices 400 (e.g., other workplace safety devices 250) viapeer-to-peer communication.

The number and arrangement of components shown in FIG. 4 are provided asan example. In practice, device 400 may include additional components,fewer components, different components, or differently arrangedcomponents than those shown in FIG. 4. Additionally, or alternatively, aset of components of device 400 may perform one or more functionsdescribed as being performed by another set of components of device 400.

FIG. 5 is a flow chart of an example process 500 for providingpredictive alerts for workplace safety. In some implementations, one ormore process blocks of FIG. 5 may be performed by safety analysisplatform 240. In some implementations, one or more process blocks ofFIG. 5 may be performed by another device or a group of devices separatefrom or including safety analysis platform 240, such as source device210, environmental sensor 220, physiological sensor 230, workplacesafety device 250, worker device 260, and/or workplace device 270.

As shown in FIG. 5, process 500 may include obtaining work informationassociated with a worker and/or a workplace (block 510). For example,safety analysis platform 240 may obtain work information from sourcedevice 210, worker device 260, workplace device 270, and/or one or moreother devices. In some implementations, safety analysis platform 240 mayreceive the work information periodically. Additionally, oralternatively, safety analysis platform 240 may receive the workinformation based on providing a request to source device 210, workerdevice 260, workplace device 270, and/or one or more other devices.

Work information may include information relating to a workplace (e.g.,a worksite) and/or information relating to a worker. For example, workinformation may include job information associated with a worker. Jobinformation may include a type of work being performed or to beperformed by a worker, such as climbing (e.g., a tower, a pole, aladder, or other equipment), mining, oil rig work, lifting, constructionwork, electrical work, digging, computer work, or the like. In someimplementations, safety analysis platform 240 may automatically obtainthe job information by interacting with a work order system to obtainand/or analyze a work order for job information. Safety analysisplatform 240 may use the job information to generate a safety score fora worker, as described in more detail below. For example, safetyanalysis platform 240 may assign different values to different types ofwork, and a value assigned to the type of work may impact the value ofthe safety score.

As another example, work information may include worker scheduleinformation, such as a work schedule, an amount of time the worker hasbeen working on a current shift, a quantity and/or length of shifts overa time period (e.g., a day, a week, a month, or a year), a time of theshift (e.g., a time of day), a length of time between shifts, or thelike. In some implementations, safety analysis platform 240 mayautomatically obtain the worker schedule information by interacting witha scheduling system to obtain and/or analyze the schedule information.Safety analysis platform 240 may use the worker schedule information togenerate a safety score for a worker, as described in more detail below.For example, safety analysis platform 240 may assign different values todifferent worker schedule factors described above, and a value assignedto the worker schedule factor may impact the value of the safety score.

As yet another example, work information may include work historyinformation relating to a worker's work history, such as an experiencelevel of the worker, a historical record of the worker's performance, ahistorical record of rules violations and/or when rules violationsoccurred, performance review information, or the like. In someimplementations, safety analysis platform 240 may automatically obtainthe work history information by interacting with a workplace recordsystem to obtain and/or analyze the work history information. Safetyanalysis platform 240 may use the work history information to generate asafety score for a worker, as described in more detail below. Forexample, safety analysis platform 240 may assign different values todifferent work history factors described above, and a value assigned tothe work history factor may impact the value of the safety score.

As still another example, work information may include layoutinformation relating to a layout of a workplace (e.g., an architecturaldesign, a building layout, a worksite layout, an equipment layout,and/or a proximity of equipment to locations in the workplace),information that identifies safety zones associated with a workplace(e.g., where different zones may have different levels of risk), or thelike. In some implementations, safety analysis platform 240 mayautomatically obtain the layout information by interacting with a layoutmanagement system that stores layout information. Safety analysisplatform 240 may use the layout information to generate a safety scorefor a worker, as described in more detail below. For example, safetyanalysis platform 240 may assign different values to different layoutfactors described above, and a value assigned to the layout factor mayimpact the value of the safety score.

As an additional example, work information may include equipmentinformation about equipment in the workplace. The equipment informationmay identify an equipment type, an equipment model, an age of theequipment, an expected lifespan of the equipment, an amount of timesince last maintenance or inspection of the equipment, a prediction ofwhen the equipment will next need maintenance, a time when the equipmentwas installed (e.g., as may indicate an extent that workers are familiarwith the equipment), or the like. In some implementations, safetyanalysis platform 240 may automatically obtain the equipment informationby interacting with an equipment management system that stores equipmentinformation. Safety analysis platform 240 may use the equipmentinformation to generate a safety score for a worker, as described inmore detail below. For example, safety analysis platform 240 may assigndifferent values to different equipment factors described above, and avalue assigned to the equipment factor may impact the value of thesafety score.

In some implementations, safety analysis platform 240 may generate ormodify a model of a worker's expected behavior based on observationsover time. In this case, safety analysis platform 240 may comparecurrent worker behavior to the model to determine whether the worker isbehaving normally or abnormally. In some implementations, the model maybe based on an individual worker. Additionally, or alternatively, themodel may be based on a group of workers (e.g., at the same or similarworkplaces, performing the same or similar types of work, with the sameor similar level of experience, or that share one or more of the same orsimilar factors described above). In some implementations, the model maybe used to compare measured behavior of an individual worker.Additionally, or alternatively, the model may be used to comparemeasured behavior of a group of workers.

In this way, safety analysis platform 240 may take into account specificworkplaces and/or specific workers to provide more accurate safetyalerts.

As further shown in FIG. 5, process 500 may include obtaining one ormore environmental measurements associated with the workplace (block520). For example, safety analysis platform 240 may obtain environmentalmeasurements from one or more environmental sensors 220. In someimplementations, safety analysis platform 240 may receive theenvironmental measurements periodically. Additionally, or alternatively,safety analysis platform 240 may receive the environmental measurementsbased on providing a request to one or more environmental sensors 220 ora device associated with one or more environmental sensors 220.

An environmental measurement may include a measurement of anenvironmental condition sensed by environmental sensor 220. For example,an environmental measurement may include a measurement of a chemicalsubstance in the workplace environment (e.g., a chemical element orcompound), such as a carbon monoxide level, an oxygen level, or thelike. As another example, environmental measurements may include ameasurement of a temperature level, a humidity level, a moisture level,a wind level, a smoke level, a radiation level, or the like. As yetanother example, environmental measurements may include a measurement ofa speed, a velocity, an acceleration (e.g., a positive acceleration or anegative acceleration, or deceleration), an angular acceleration, ageographic location, a change in geographic location, an altitude, aforce exerted on environmental sensor 220, an orientation ofenvironmental sensor 220, a change in orientation of environmentalsensor 220, or the like. As still another example, environmentalmeasurements may include measurement of a time of day, an amount oflight, a location of a worker in the workplace, or the like.

In some implementations, safety analysis platform 240 may measure anenvironmental condition over time. For example, safety analysis platform240 may measure a cumulative exposure to radiation over the course of awork shift. In some implementations, an environmental measurement mayinclude a current or real time measurement of an environmentalcondition. Additionally, or alternatively, an environmental measurementmay include a projection of a future environmental condition, such as aweather forecast. In the case of a weather forecast, safety analysisplatform 240 may obtain the weather forecast from source device 210(e.g., a web server that stores weather forecast information).

In this way, safety analysis platform 240 may take environmental factorsinto consideration when generating safety alerts, thereby increasingaccuracy of the alerts and conserving computing resources by selectivelytaking action based on a reliable indicator of worker or workplacesafety.

As further shown in FIG. 5, process 500 may include obtaining one ormore physiological measurements associated with the worker (block 530).For example, safety analysis platform 240 may obtain physiologicalmeasurements from one or more physiological sensors 230. In someimplementations, safety analysis platform 240 may receive thephysiological measurements periodically. Additionally, or alternatively,safety analysis platform 240 may receive the physiological measurementsbased on providing a request to one or more physiological sensors 230 ora device associated with one or more physiological sensors 230.

A physiological measurement may include a measurement of a physiologicalindicator, of a worker, sensed by physiological sensor 230. For example,a physiological measurement may include a measurement of a heart rate, ablood pressure, a glucose level, a pulse, or the like. As anotherexample, a physiological measurement may include a measurement of anacceleration, a distance traveled, a physical orientation, a heat flux,a skin conductivity, a temperature (e.g., a skin temperature of theworker, or an air temperature proximate to the worker), a calorie count,sleep data, motion, moisture (e.g., perspiration), noises made by theworker, or the like. As yet another example, a physiological measurementmay include a measurement of a chemical substance in, on, or near thebody of the worker (e.g., a chemical element or compound), such asoxygen, carbon dioxide, lactate, testosterone, cortisol, glucose,glucagon, glycogen, insulin, starch, free fatty acid, triglycerides,monoglycerides, glycerol, pyruvate, lipids, other carbohydrates, ketonebodies, choline, or the like.

In some implementations, safety analysis platform 240 may measure thephysiological indicator over time. For example, safety analysis platform240 may measure an average heart rate of a worker over the course of awork shift. In some implementations, a physiological measurement mayinclude a current or real time measurement of the physiologicalindicator. Additionally, or alternatively, a physiological measurementmay include a projection of a future physiological indicator, such as aheart rate that is increasing towards a threshold that could indicatedanger to the worker.

In this way, safety analysis platform 240 may take physiological factorsinto consideration when generating safety alerts, thereby increasingaccuracy of alerts and personalizing alerts for particular workers.

As further shown in FIG. 5, process 500 may include generating a safetyscore for the worker based on the work information, the environmentalmeasurement(s), and/or the physiological measurement(s) (block 540). Forexample, safety analysis platform 240 may generate a safety score for aworker based on one or more factors described herein. For example, thesafety score may be based on one or more work factors associated withwork information described in connection with block 510, one or moreenvironmental factors associated with one or more environmentalmeasurements described in connection with block 520, and/or one or morephysiological factors associated with the physiological measurementsdescribed in connection with block 530.

In some implementations, safety analysis platform 240 may applydifferent weights to different factors when generating the safety score.For example, safety analysis platform 240 may apply different weights todifferent factor types (e.g., work factors, environmental factors, orphysiological factors). As an example, safety analysis platform 240 mayapply a first (e.g., high) weight to physiological factors, may apply asecond (e.g., medium) weight to environmental factors, and may apply athird (e.g., low) weight to work factors. These weight value assignmentsare provided as an example, and weight values may be assigned todifferent factor types in a different manner, in some implementations.

As another example, safety analysis platform 240 may apply differentweights to different individual factors. For example, regarding workfactors, safety analysis platform 240 may apply a first (e.g., high)weight to an amount of time the worker has been on a shift, may apply asecond (e.g., medium) weight to an amount of worker experience, and mayapply a third (e.g., low) weight to a quantity of shifts over time.Similarly, regarding environmental factors, safety analysis platform 240may apply a first (e.g., high) weight to a weather forecast, may apply asecond (e.g., medium) weight to a workplace temperature, and may apply athird (e.g., low) weight to a worker location. Similarly, regardingphysiological factors, safety analysis platform 240 may apply a first(e.g., high) weight to a heart rate, may apply a second (e.g., medium)weight to an amount of skin perspiration, and may apply a third (e.g.,low) weight to a number of steps taken. These weight value assignmentsare provided as examples, and weight values may be assigned to differentindividual factors in a different manner, in some implementations.

As still another example, safety analysis platform 240 may applydifferent weights both to different factor types and to differentindividual factors. For example, a different weight may be applied towork factors as compared to environmental factors, and different weightsmay also be applied to different individual factors among the workfactors and to different individual factors among the environmentalfactors.

In some implementations, safety analysis platform 240 may generate thesafety score based on applying a model, applying machine learning,applying artificial intelligence, or the like. For example, safetyanalysis platform 240 may receive a training set of data (e.g., knownfactors) that led to accidents, and may apply machine learning to thetraining set to identify factors and/or combinations of factors likelyto cause an accident. Safety analysis platform 240 may then apply themodel, as factors are received, to calculate a safety scorerepresentative of a likelihood of an accident. In some implementations,safety analysis platform 240 may continue to train the model when anaccident occurs and/or when an incident is reported. In someimplementations, safety analysis platform 240 may take into accountthousands, millions, or more data points for the model, machinelearning, artificial intelligence, or the like. Safety analysis platform240 may analyze this large number of data points to determinecombinations of factors that may lead to an accident.

As an example, safety analysis platform 240 may generate a safety scorethat indicates a high likelihood of an accident based on a type of work(e.g., climbing a tower) combined with an environmental measurement(e.g., wind). Moreover, if rain is present at the worksite, safetyanalysis platform 240 may generate a safety score that indicates an evenhigher likelihood of an accident. Further still, if it is also darkoutside, safety analysis platform 240 may generate a safety score thatindicates a still higher likelihood of an accident.

In some implementations, safety analysis platform 240 may use a firstsafety score for a first worker to generate a second safety score for asecond worker. For example, the first worker may have a high risk safetyscore, indicating a high likelihood of an accident, and the secondworker may be located near the first worker within the workplace. Inthis case, the second worker may be likely to be impacted by an accidentcaused by the first worker. Thus, safety analysis platform 240 may usegenerate the second safety score to indicate a higher risk of anaccident for the second worker than if the second worker were notlocated near the first worker. In some implementations, safety analysisplatform 240 may use the first safety score and locations of the workers(e.g., a distance or proximity between the first worker and the secondworker) to update the second safety score (e.g., to update a previouslycalculated second safety score for the second worker). For example,safety scores of workers who are located farther from the first workermay be impacted less by the first safety score than workers who arelocated closer to the first worker.

In some implementations, safety analysis platform 240 may generate thesafety score. In this case, safety analysis platform 240 may usereal-time information or information most recently received from otherdevices to generate the safety score, thereby improving the accuracy andtimeliness of the safety score. In some implementations, workplacesafety device 250 may generate the safety score. In this case, workplacesafety device 250 may use the most recently received and/or locallystored information to generate the safety score, allowing the safetyscore to be generated regardless of whether the workplace safety device250 is connected to a network and/or in communication with safetyanalysis platform 240.

In some implementations, safety analysis platform 240 may generate thesafety score if workplace safety device 250 is in communication withsafety analysis platform 240, and workplace safety device 250 maygenerate the safety score if workplace safety device 250 is not incommunication with safety analysis platform 240. In this way, workplacesafety device 250 may conserve network resources by preventing repeatedattempts to communicate with safety analysis platform 240 when not indirect communication with safety analysis platform 240, while stillensuring accurate calculation of the safety score. Additionally, oralternatively, information for generating the safety score may be passedvia a chain of workplace safety devices 250 or other communicationdevices to safety analysis platform 240. In this way, the accuracy ofthe safety score may be improved by ensuring that data is obtained forworkplace safety devices 250, even when not in direct communication withsafety analysis platform 240.

In some implementations, the safety score may indicate a currentcondition associated with a worker (e.g., the worker is currentlylocated in a dangerous area, has currently been exposed to a dangerouschemical or gas, is currently associated with a high likelihood of anaccident, or the like). Additionally, or alternatively, the safety scoremay indicate a future condition predicted to be associated with theworker (e.g., the worker is walking toward a dangerous area, is near anarea with dangerous chemicals or gases, is predicted to have anaccident, or the like). In other words, the safety score may indicate acurrent risk level associated with the worker and/or a predicted futurerisk level associated with the worker. In some implementations, safetyanalysis platform may provide a recommendation to mitigate the currentrisk level and/or the predicted future risk level, as described below inconnection with providing an alert.

As further shown in FIG. 5, process 500 may include selectivelyproviding an alert, regarding the worker, based on the safety score(block 550). For example, safety analysis platform 240 may provide analert to workplace safety device 250. In some implementations, safetyanalysis platform 240 may provide an alert when the safety scoresatisfies a threshold. The alert may cause an output component 360 tooutput a signal. For example, output component 360 may output a visualsignal (e.g., to cause an LED light to turn red) that may be seen by theuser of workplace safety device 250, an audible signal (e.g., a beepingalarm or an automated verbal instruction) that may be heard by the userof workplace safety device 250, or the like. Additionally, oralternatively, output component 360 may output the visual signal so asto be visible to other workers proximate to the user of workplace safetydevice 250. Additionally, or alternatively, output component 360 mayoutput the audible signal so as to be audible to other workers proximateto the user of workplace safety device 250. In this way, a worker whomight not see the visual signal may still be alerted by the audiblesignal, and a worker who might not hear the audible signal may still bealerted by the visible signal. In some implementations, a particularcombination, pattern, or the like of visible and/or audible signals mayindicate a particular alert.

In some implementations, safety analysis platform 240 may provide analert to worker device 260 (e.g., a mobile phone). For example, safetyanalysis platform 240 may provide the alert to cause worker device 260to prompt the user (e.g., by displaying a message on a display screen ofworker device 260) to be careful, to stop work immediately, to take arest, or the like. Further to the example, worker device 260 may providean audible signal, a vibration, or the like, to notify the user ofworker device 260 of the message. In some implementations, safetyanalysis platform 240 may concurrently provide multiple alerts tomultiple workplace safety devices 250, worker devices 260, and/or otherdevices.

In some implementations, safety analysis platform 240 and/or workplacesafety device 250 may identify one or more nearby workplace safetydevices 250 and/or nearby worker devices 260 (e.g., located within athreshold proximity of a worker or workplace safety device 250associated with the alert, in communication with workplace safety device250, etc.), and may provide an alert to those nearby devices. In thisway, the workers associated with those devices may be more vigilant, andmay also make sure that the affected worker is safe, takes a break, orthe like.

In some implementations, safety analysis platform 240 may, based on asafety score, provide an instruction to a particular piece of equipmentto shut down the piece of equipment, to reboot the piece of equipment,to reduce throughput or operating speed of the piece of equipment, toreconfigure the piece of equipment, to turn off power to a particulararea of a workplace, to cause a message to be sent to a user (e.g., asupervisor, an inspector, a technician, etc.), to populate portions of auser interface, to turn on a camera, to change focus of the camera(e.g., to move, zoom, or pan to view a location of a worker associatedwith a high risk safety score, based on a location of workplace safetydevice 250 or worker device 260), or the like. In this way, safetyanalysis platform 240 may automatically take preventative measures toreduce likelihood of an accident or to minimize risk from an accident.

In some implementations, safety analysis platform 240 may provide analert to workplace device 270. Based on the alert, workplace device 270may display information to a user, such as a supervisor, associated withthe workers and/or the workplace. For example, workplace device 270 mayprovide various user interfaces that a supervisor may use to keepworkers safe, as described below in connection with FIGS. 6-20.

In this way, safety analysis platform 240 may increase worker safety andreduce workplace accidents by using environmental measurements,physiological measurements, and/or work information to predict whenworkplace accidents are likely to occur and to send alerts to preventsuch accidents from occurring. As a result, worker injuries and/orfatalities may be prevented, property damage may be avoided, anddowntime of workers and/or equipment may be reduced.

Although FIG. 5 shows example blocks of process 500, in someimplementations, process 500 may include additional blocks, fewerblocks, different blocks, or differently arranged blocks than thosedepicted in FIG. 5. Additionally, or alternatively, two or more of theblocks of process 500 may be performed in parallel.

FIGS. 6-20 are diagrams of example implementations relating to theexample process shown in FIG. 5. As shown in FIGS. 6-20, workplacedevice 270 may display one or more user interfaces in various statesrepresenting different safety-related circumstances associated with theworkplace and/or workers. Workplace device 270 may display, update,and/or alter the user interfaces based on information obtained fromsafety analysis platform 240 and/or one or more other devices ofenvironment 200, such as information and/or changes to informationassociated with work factors, environmental factors, and/orphysiological factors. In some implementations, collection, processing,and display of data described herein may occur in real-time.

As shown in FIGS. 6-18, workplace device 270 may display a worker safetydashboard upon selection by a user. As shown in FIG. 6, workplace device270 may display the worker safety dashboard to indicate a quantity ofworkers in the workplace (shown by reference number 610). In someimplementations, workplace device 270 may provide alerts about workers(shown by reference number 620). In some implementations, workplacedevice 270 may provide a map of a layout of the workplace (shown byreference number 630). In some implementations, workplace device 270 mayindicate, on the map, locations of workers using icons (shown byreference number 640). In some implementations, workplace device 270 maydisplay the icons differently based on a safety score associated withthe worker (e.g., using different colors, different sizes, etc.).

In some implementations, workplace device 270 may display, on the map,icons representative of locations of cameras (shown by reference number650). In this case, a user may interact with one of the icons to causeworkplace device 270 to display a video feed from a camera representedby the icon. In some implementations, workplace device 270 may includeinput mechanisms (shown by reference number 660) for a user (e.g., asupervisor) to select different information to display, such as byclicking on corresponding boxes. For example, the supervisor may selectdifferent portions of the map to show or hide those different portionsand/or worker icons representing workers associated with those differentportions. As another example, the supervisor may select different groupsof workers (e.g., teams) to show or hide icons representing workersassociated with those groups. As another example, the supervisor mayinteract with the user interface to show or hide the camera icons, iconsrepresenting workplace equipment, information relating to differentzones (e.g., a zone number, a risk level associated with a zone, zonerestrictions, etc.), to show or hide different floors of a workplacelayout, to show or hide different buildings in the workplace, or thelike. In this way, computing resources (e.g., memory resources,processing resources, etc.) may be conserved by showing only a subset ofall possible information.

As shown in FIG. 7, workplace device 270 may cause the worker safetydashboard to show a list (shown by reference number 710) of workers(shown as User 1 through User 9) with information regarding a workerstatus (under “Status”) based on a safety score, a worker name (under“Name”), a worker safety score (under “Safety Value”), physiologicalinformation (under “Heart Rate” and “Steps”), work information (under“Hours at Shift”), and/or environmental information. Workplace device270 may allow a user to select a worker, such as by clicking on aportion of the user interface that identifies the worker, such that theuser interface displays details associated with the selected worker.

As shown in FIG. 8, if a user selects “User 5” on the worker safetydashboard (shown by reference number 810), workplace device 270 maydisplay a safety score for User 5 (shown by reference number 820).Workplace device 270 may display an area showing different factors(shown by reference number 830), a value of a factor that indicates alikelihood of an accident due to that factor (for one or more displayedfactors), and/or an impact of the factor on the safety score. Workplacedevice 270 may also indicate rules violations associated with theselected worker (shown by reference number 840). Workplace device 270may further indicate a maximum, a minimum, and/or an average safetyscore, such as plotted on a graph over a time period (shown by referencenumber 850). For example, workplace device 270 may indicate a maximumsafety score for different days. Workplace device 270 may also indicatea prediction of future safety scores, shown as a dotted line on thegraph (shown by reference number 860), based on historical safety scoresand model analysis. In some implementations, a current safety score maybe calculated based on an expected future safety score (e.g., aprediction of a likelihood of a future accident). Workplace device 270may further provide a recommendation for the selected worker based onhistorical and/or predicted safety scores (e.g., take a day off, switchto a safer task for a day, etc.). Workplace device 270 may indicate themost recent safety scores that satisfied a threshold, and when thosesafety scores occurred (shown by reference number 870).

As shown in FIG. 9, workplace device 270 may display an icon for aselected worker in a different manner than icons for other workers(shown by reference number 910), such as an icon that is larger than theicons for the other workers. Additionally, or alternatively, when asafety score for a worker satisfies a threshold, workplace device 270may receive an alert and may provide an icon for that worker in adifferent manner than other icons for workers not associated with analert, such as showing the icon in a different color (shown by referencenumber 920). For example, a green icon may indicate a low risk safetyscore, an amber icon may indicate a medium risk safety score, and a redicon may indicate a high risk safety score. Additionally, oralternatively, workplace device 270 may provide alerts and/ornotifications regarding the workers (shown by reference number 930).

As shown in FIG. 10, workplace device 270 may update information in thelist of workers based on receiving the alert (shown by reference number1010). In some implementations, information may be updated in real timeas the information is received and/or processed. As an example, a statusof User 1 may be changed from green to amber, indicating a medium risksafety score. The user of workplace device 270 (e.g., a supervisor) maythen select User 1 to obtain more information about User 1, such as whythe status of User 1 was changed from green to amber. As shown in FIG.11, as a result of the user selecting User 1, the icon for User 1 isenlarged (shown by reference number 1110) and the icon for User 5 isshrunk (shown by reference number 1120) based on supervisor selection ofUser 1.

As shown in FIG. 12, selected User 1 has a safety score of 7, indicatinga medium level of risk. As further shown in FIG. 12, User 1 has afatigue factor score of 6, a dangerous work factor score of 5, and adangerous substance factor score of 7. In some implementations, thesafety score may be calculated as the maximum of one or more of thefactor scores. In this case, where the maximum factor score for User 1is 7, the safety score is 7. Additionally, or alternatively, the safetyscore may be calculated as a combination of multiple factor scores.

As shown in FIG. 13, when User 1 enters a restricted zone, workplacedevice 270 displays a zone violation and causes the icon for User 1 toturn to red, indicating a high risk (shown by reference number 1310). Asshown in FIG. 14, as a result of User 1 entering the restricted zone,the rules violation factor score for User 1 changes to 9, increasing themaximum factor score of User 1 to 9, and the safety score of User 1changes to 9, accordingly.

As shown in FIG. 15, when User 1 leaves the restricted zone, the iconfor User 1 changes back to amber (shown by reference number 1510). Asshown in FIG. 16, as a result of User 1 leaving the restricted zone, therules violation factor score of User 1 changes from 9 to 1, the maximumfactor score of User 1 changes back to 7, and the safety score of User 1changes back to 7, accordingly.

As shown in FIG. 17, when User 1 enters an area where the workplacesafety device 250 of User 1 detects a dangerous level of carbonmonoxide, workplace device 270 receives an alert from safety analysisplatform 240 and, based on the alert, displays a warning and changes theicon of User 1 to red. In some implementations, safety analysis platform240 may also provide an alert to workers proximate to User 1 andworkplace device 270 may change the icons of those workers to red. Asshown in FIG. 18, as a result of the detection of a dangerous level ofcarbon monoxide, the safety score of User 1 increases to 10.

As shown in FIGS. 19-20, workplace device 270 may display a historicaldata section upon selection by a user. The historical data section mayinclude statistics for workers or teams of workers. As shown in FIG. 19,workplace device 270 may display the historical data section to show oneor more graphs of various factors. The graphs may be plotted over a day,a week, a month, and/or a time range selected by the user. For example,workplace device 270 may display a graph of an aggregate or averagesafety score for a selected team of workers. As another example,workplace device 270 may display a graph of an aggregate or averagefactor score over time for one or more factors. In this case, workplacedevice 270 may display multiple graphs on a same field, with the graphfor each different factor shown in a different color.

As shown in FIG. 20, workplace device 270 may display the historicaldata section to show information such as rules violations, alerts,notifications, or the like for a selected worker, a selected team ofworkers, or all workers. For example, workplace device 270 may displayall rules violations for a selected worker. In some implementations,workplace device 270 may display the information for a particular timeperiod, such as a day, a week, a month, and/or a time period selected bythe user.

In this way, safety analysis platform 240 may obtain and useenvironmental measurements, physiological measurements, and workinformation to generate a safety score. Further, safety analysisplatform 240 may use the safety score to predict when workplaceaccidents are likely to occur, and may send alerts to prevent suchaccidents from occurring. As a result, worker injuries and fatalitiesmay be prevented, property damage may be avoided, and downtime ofworkers and/or equipment may be reduced.

As indicated above, FIGS. 6-20 are provided merely as an example. Otherexamples are possible and may differ from what was described inconnection with FIGS. 6-20.

The foregoing disclosure provides illustration and description, but isnot intended to be exhaustive or to limit the implementations to theprecise form disclosed. Modifications and variations are possible inlight of the above disclosure or may be acquired from practice of theimplementations.

As used herein, the term component is intended to be broadly construedas hardware, firmware, and/or a combination of hardware and software.

Some implementations are described herein in connection with thresholds.As used herein, satisfying a threshold may refer to a value beinggreater than the threshold, more than the threshold, higher than thethreshold, greater than or equal to the threshold, less than thethreshold, fewer than the threshold, lower than the threshold, less thanor equal to the threshold, equal to the threshold, etc.

Certain user interfaces have been described herein and/or shown in thefigures. A user interface may include a graphical user interface, anon-graphical user interface, a text-based user interface, etc. A userinterface may provide information for display. In some implementations,a user may interact with the information, such as by providing input viaan input component of a device that provides the user interface fordisplay. In some implementations, a user interface may be configurableby a device and/or a user (e.g., a user may change the size of the userinterface, information provided via the user interface, a position ofinformation provided via the user interface, etc.). Additionally, oralternatively, a user interface may be pre-configured to a standardconfiguration, a specific configuration based on a type of device onwhich the user interface is displayed, and/or a set of configurationsbased on capabilities and/or specifications associated with a device onwhich the user interface is displayed.

It will be apparent that systems and/or methods, described herein, maybe implemented in different forms of hardware, firmware, or acombination of hardware and software. The actual specialized controlhardware or software code used to implement these systems and/or methodsis not limiting of the implementations. Thus, the operation and behaviorof the systems and/or methods were described herein without reference tospecific software code—it being understood that software and hardwarecan be designed to implement the systems and/or methods based on thedescription herein.

Even though particular combinations of features are recited in theclaims and/or disclosed in the specification, these combinations are notintended to limit the disclosure of possible implementations. In fact,many of these features may be combined in ways not specifically recitedin the claims and/or disclosed in the specification. Although eachdependent claim listed below may directly depend on only one claim, thedisclosure of possible implementations includes each dependent claim incombination with every other claim in the claim set.

No element, act, or instruction used herein should be construed ascritical or essential unless explicitly described as such. Also, as usedherein, the articles “a” and “an” are intended to include one or moreitems, and may be used interchangeably with “one or more.” Furthermore,as used herein, the term “set” is intended to include one or more items(e.g., related items, unrelated items, a combination of related andunrelated items, etc.), and may be used interchangeably with “one ormore.” Where only one item is intended, the term “one” or similarlanguage is used. Also, as used herein, the terms “has,” “have,”“having,” or the like are intended to be open-ended terms. Further, thephrase “based on” is intended to mean “based, at least in part, on”unless explicitly stated otherwise.

What is claimed is:
 1. A method, comprising: generating, by a system, afirst safety score for a first worker based on at least one of: one ormore environmental measurements associated with a workplace, or one ormore physiological measurements associated with the first worker;updating, by the system and based on the first safety score, a secondsafety score for a second worker; and selectively causing, by the systemand based on at least one of the first safety score or the second safetyscore, equipment to at least one of: shut down, reboot, reducethroughput or operating speed, reconfigure, power off a particular areaof the workplace, populate one or more portions of a user interface,turn on a camera, or change focus of the camera.
 2. The method of claim1, further comprising: obtaining work information associated with atleast one of the first worker or the workplace; and where generating thefirst safety score comprises: generating the first safety score based onthe work information.
 3. The method of claim 1, where the one or moreenvironmental measurements are received periodically.
 4. The method ofclaim 1, where the one or more environmental measurements are receivedvia one or more sensors.
 5. The method of claim 1, where the one or moreenvironmental measurements include one or more projections of a futureenvironmental condition.
 6. The method of claim 1, where the one or morephysiological measurements are received via one or more sensors.
 7. Themethod of claim 1, where the one or more physiological measurementsinclude a measurement of a physiological indicator over time.
 8. Adevice, comprising: a memory; and one or more processors to: generate afirst safety score for a first worker based on at least one of: one ormore environmental measurements associated with a workplace, or one ormore physiological measurements associated with the first worker;update, based on the first safety score, a second safety score for asecond worker; and selectively cause, based on at least one of the firstsafety score or the second safety score, equipment to at least one of:shut down, reboot, reduce throughput or operating speed, reconfigure,power off a particular area of the workplace, populate one or moreportions of a user interface, turn on a camera, or change focus of thecamera.
 9. The device of claim 8, where the one or more processors arefurther to: apply a first weight to the one or more environmentalmeasurements; and apply a second weight to the one or more physiologicalmeasurements; and where the one or more processors, when generating thefirst safety score, are to: generate the first safety score based on thefirst weight and the second weight.
 10. The device of claim 8, where theone or more processors, when generating the first safety score, are to:generate the first safety score based on applying at least one of: amodel, machine learning, or artificial intelligence.
 11. The device ofclaim 8, where the one or more processors are further to: train a modelbased on at least one of an accident occurring or an incident beingreported; and where the one or more processors, when generating thefirst safety score, are to: generate the first safety score based onapplying the model.
 12. The device of claim 8, where the one or moreprocessors, when updating the second safety score, are to: update thesecond safety score based on a location of the first worker and alocation of the second worker.
 13. The device of claim 8, where at leastone of the first safety score or the second safety score indicates apredicted future risk level associated with the first worker or thesecond worker.
 14. The device of claim 8, where the one or moreprocessors are further to: provide a recommendation to mitigate a risklevel associated with at least one of the first safety score or thesecond safety score.
 15. A non-transitory computer-readable mediumstoring instructions, the instructions comprising: one or moreinstructions that, when executed by one or more processors of a device,cause the one or more processors to: generate a first safety score for afirst worker based on at least one of: one or more environmentalmeasurements associated with a workplace, or one or more physiologicalmeasurements associated with the first worker; generate, based on thefirst safety score, a second safety score for a second worker; andselectively cause, based on at least one of the first safety score orthe second safety score, equipment to at least one of: shut down,reboot, reduce throughput or operating speed, reconfigure, power off aparticular area of the workplace, populate one or more portions of auser interface, turn on a camera, or change focus of the camera.
 16. Thenon-transitory computer-readable medium of claim 15, where the one ormore instructions, when executed by the one or more processors, furthercause the one or more processors to: provide, based on at least one ofthe first safety score or the second safety score, an alert to one ormore devices within a threshold proximity of at least one of the firstworker or the second worker.
 17. The non-transitory computer-readablemedium of claim 16, where the alert causes the one or more devices tooutput a signal.
 18. The non-transitory computer-readable medium ofclaim 15, where the one or more instructions, that cause the one or moreprocessors to generate the second safety score, cause the one or moreprocessors to: generate the second safety score based on a proximitybetween the first worker and the second worker.
 19. The non-transitorycomputer-readable medium of claim 15, where at least one of the firstsafety score or the second safety score indicates a current risk levelassociated with the first worker or the second worker.
 20. Thenon-transitory computer-readable medium of claim 15, where the one ormore instructions, that cause the one or more processors to generate thesecond safety score, cause the one or more processors to: generate thesecond safety score based on the device not being in communication witha safety device.